RFI: Best Practices in Distributed General-Purpose Radio Frequency (RF) Signal Processing
Dept of Defense · DEFENSE ADVANCED RESEARCH PROJECTS AGENCY (DARPA)
This notice is not accepting responses (deadline was Jul 9, 2026, 8:00 PM EDT).
Page kept for research and related open opportunities below. For current work in this category, use the related notices or browse hubs.
- Response deadline
- Jul 9, 2026, 8:00 PM EDT
- Posted
- Jun 9, 2026
- Solicitation
- DARPA-SN-26-90
- Set-aside
- None listed
- Place of performance
- —
- Contracting office
- DEF ADVANCED RESEARCH PROJECTS AGCY · ARLINGTON · VA
- Source
- SAM.gov · updated Jun 10, 2026
Description
The Defense Advanced Research Projects Agency (DARPA) Multi X Office (MXO) seeks information regarding best practices and innovative approaches for distributed general-purpose radio frequency (RF) signal processing. DARPA is exploring methods to standardize the control, scheduling, and processing of advanced RF systems to enhance performance, efficiency, and interoperability in complex operational environments. DARPA simultaneously wishes to reduce the cost of laboratory-scale prototype systems and the time required to port prototype systems to tactical platforms. The Department of War (DoW) typically operates in environments where advanced, adaptable RF systems dictate mission completion. This RFI aims to gather insights into leveraging existing standards, optimizing aperture use, and advancing distributed and heterogeneous computing for RF applications. Responses to this RFI may be used to inform future program development and interoperability for existing DARPA capabilities.
What similar awards have paid
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Typical award size
$2.45M
Middle of the pack for similar past awards
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Drawn from official USAspending contract records in our index. Always confirm requirements on the SAM.gov notice before you bid.
Intelligence only — not legal advice or a guarantee of award. Always verify requirements on the official SAM.gov notice. Past award amounts are public history, not a suggested bid or prediction. Notice ID 43f952ef58c641f1ad52dfda318e2d9e.